Sr Staff Machine Learning Engineer, Adobe Firefly Services

Adobe Inc.; Seattle (WA); On-site; USD 223,500 - 323,700; Full time

Job summary

Adobe Inc. is seeking a Senior Staff Machine Learning Engineer to lead GenAI services for Firefly and related products. You will architect scalable inference pipelines, optimize models for latency and throughput, and build APIs that integrate diverse GenAI models across Adobe's suite like Firefly, Photoshop, and Premiere.

You will mentor other ML engineers, set technical direction, and drive collaboration with Adobe Research to advance model inference strategies and productization at scale.

Qualifications

• MS or PhD in Computer Science, Machine Learning, or a related field – or equivalent industry experience.
• 10+ years of experience in machine learning, including production‑scale deployments.
• 3+ years of experience leading large‑scale, GPU‑intensive GenAI systems (training, inference, and optimization).
• Experience with GenAI frameworks and tools such as PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.
• Good understanding of generative model architectures, including diffusion models, transformers, and GANs.
• Good communication and leadership skills, with a track record of driving alignment in matrixed organizations.

Responsibilities

• Design and development of core GenAI services and APIs that integrate a wide range of generative models into Adobe's flagship products.
• Design and build ML workflows for enterprise‑scale model customization, serving, and ecosystem integration.
• Collaborate with Adobe Research and other model developer teams focusing on model inference strategies and productization of those models.
• Build and optimize GPU‑accelerated pipelines for both customized model training and inference, prioritizing performance, scalability, and reliability.
• Foster a culture of innovation, technical excellence, and continuous improvement across the organization.

Skills

Machine Learning

Production Deployments

Distributed Systems

GPU Acceleration

Python

PyTorch

CUDA

Triton

TensorRT

Model Optimization

Education

MS or PhD in CS/ML or equivalent

Tools

Kubernetes

MLOps Platforms

Nvidia Dynamo

Job description

Adobe Firefly's Generative AI Services team is seeking a Senior Staff Machine Learning Engineer for our GenAI Services area. In this high‑impact role, you will work with a team of talented engineers building scalable, high-performance generative AI systems that power features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. You will design and develop efficient inference pipelines, optimize models for latency and throughput, and build APIs and ecosystems that integrate both Adobe's first‑party and third‑party generative models into Adobe's suite of products. You will tackle Adobe's most complex engineering challenges at the forefront of the industry, set technical direction, and mentor other ML engineers.

Job Responsibilities

• Design and Development of core GenAI services and APIs that integrate a wide range of generative models into Adobe's flagship products.
• Design and build ML workflows for enterprise‑scale model customization, serving, and ecosystem integration.
• Collaborate with Adobe Research and other model developer teams focusing on model inference strategies and productization of those models.
• Build and optimize GPU‑accelerated pipelines for both customized model training and inference, prioritizing performance, scalability, and reliability.
• Foster a culture of innovation, technical excellence, and continuous improvement across the organization.

What You'll Need to Succeed

• MS or PhD in Computer Science, Machine Learning, or a related field – or equivalent industry experience.
• 10+ years of experience in machine learning, including production‑scale deployments.
• 3+ years of experience leading large‑scale, GPU‑intensive GenAI systems (training, inference, and optimization).
• Experience with GenAI frameworks and tools such as PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.
• Good understanding of generative model architectures, including diffusion models, transformers, and GANs.
• Good communication and leadership skills, with a track record of driving alignment in matrixed organizations.

Preferred Qualifications

• Experience with model serving, inference, orchestration, and GPU resource management in large‑scale environments.
• Hands‑on expertise in Kubernetes, distributed systems, and MLOps platforms.

E‑EO and Accessibility

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [e-mail] or call +1 408‑536‑3015.

Expected Pay Range

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $190,200 – $345,650 annually. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $238,700 – $345,650.

In Washington, the pay range for this position is $223,500 – $323,700.

State‑Specific Notices

California

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.